SMAP（Soil Moisture Active Passive）是美国宇航局（NASA）于2015年发射的一颗卫星，用于监测全球土壤湿度和冻融状态。SMAP+L4是SMAP卫星的数据处理产品之一，由NASA和国家海洋和大气管理局（NOAA）合作开发。SMAP+L4数据产品提供的是全球每天土壤湿度、土壤温度和植被水分缺失指数等信息，帮助科学家更好地了...
The skillful soil moisture (SM) for the Soil Moisture Active Passive (SMAP) L4 product can provide substantial value for many practical applications including ecosystem management and precision agriculture. Deep learning (DL) models provide powerful methods for hydrologic variables' prediction such as ...
This is the Product Specification Document (PSD) for Level 4 Surface and Root Zone Soil Moisture (L4_SM) data for the Science Data System (SDS) of the Soil Moisture Active Passive (SMAP) project. The L4_SM data product provides estimates of land surface conditions based on the assimilation...
SoilMoistureActivePassive(SMAP)AncillaryDataReportLandcoverClassificationPreliminary,v.1SMAPScienceDocumentno.042SeungbumKimJetPropulsionLaborator..
http://smap.jpl.nasa.gov/ NationalAeronauticsand SpaceAdministration JetPropulsionLaboratory CaliforniaInstituteofTechnology Pasadena,California SoilMoistureActive-Passive 02/11/09SMAP-1 Forplanninganddiscussionpurposesonly. SMAPMissionQuadChart PrimaryScienceObjectives • Global,high-resolutionmappingofsoil ...
The captured brightness, and backscatter cross-section of the earths’ surface is used to determine soil moisture, including corrections for vegetation and surface roughness (Entekhabi et al., 2014). Global grids of surface soil moisture (SMAP L4, Version 5, format: HDF5) were downloaded for ...
To expand the soil moisture dataset evaluation, we included the SMAP L4 Global 3-h 9-km EASE-Grid Surface Soil Moisture Analysis Update version 539. This product was computed via dynamic assimilation of SMAP brightness temperatures into the NASA Catchment land surface model42using a customized vers...
ee.ImageCollection("NASA_USDA/HSL/SMAP_soil_moisture") Resolution 27830 meters Bands Table * = Values are estimated 数据引用: Mladenova, I.E., Bolten, J.D., Crow, W., Sazib, N. and Reynolds, C., 2020.Agricultural drought monitoring via the assimilation of SMAP soil moisture retrievals ...
The downscaled product captures the spatial and temporal soil moisture dynamics better than SMAP L3 and L4 product alone at both field and watershed scales. Our results highlight the value of hyper-resolution modeling to bridge the gap between coarse-scale satellite retrievals and field-scale ...
For the SMAP L4_SM data product, downscaled TBH and TBV observations at 9 km resolution from the SMAP Level 2 Soil Moisture Active Passive (L2_SM_AP) product will be used whenever available. These downscaled brightness temperatures are a merger of the 36 km SMAP Level 1C Brightness ...